Struct WhiteKernel 

pub struct WhiteKernel {
    pub noise_level: f64,
}

White kernel (noise): k(x, x’) = σ² δ(x, x’)

This kernel only produces variance on the diagonal, representing independent noise on observations.

Fields

noise_level: f64

Implementations

impl WhiteKernel

pub fn new(noise_level: f64) -> Self

Trait Implementations

impl Clone for WhiteKernel

fn clone(&self) -> WhiteKernel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for WhiteKernel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for WhiteKernel

fn default() -> Self

Returns the “default value” for a type.

impl Kernel for WhiteKernel

fn compute(&self, x1: &ArrayView1<'_, f64>, x2: &ArrayView1<'_, f64>) -> f64

Compute covariance between two points

fn get_params(&self) -> Vec<f64>

Get kernel parameters (for optimization)

fn set_params(&mut self, params: &[f64])

Set kernel parameters

fn compute_matrix(&self, x: &Array2<f64>) -> Array2<f64>

Compute covariance matrix for a set of points

fn compute_cross_matrix( &self, x1: &Array2<f64>, x2: &Array2<f64>, ) -> Array2<f64>

Compute covariance matrix between two sets of points

fn n_params(&self) -> usize

Get number of parameters